Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Genome-wide Analysis of Chromatin St...
~
Winter, Deborah Rachelle.
Linked to FindBook
Google Book
Amazon
博客來
Genome-wide Analysis of Chromatin Structure across Diverse Human Cell Types.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Genome-wide Analysis of Chromatin Structure across Diverse Human Cell Types./
Author:
Winter, Deborah Rachelle.
Description:
211 p.
Notes:
Source: Dissertation Abstracts International, Volume: 74-08(E), Section: B.
Contained By:
Dissertation Abstracts International74-08B(E).
Subject:
Biology, Bioinformatics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3558843
ISBN:
9781303034589
Genome-wide Analysis of Chromatin Structure across Diverse Human Cell Types.
Winter, Deborah Rachelle.
Genome-wide Analysis of Chromatin Structure across Diverse Human Cell Types.
- 211 p.
Source: Dissertation Abstracts International, Volume: 74-08(E), Section: B.
Thesis (Ph.D.)--Duke University, 2013.
Chromatin structure plays an important role in gene regulation, especially in differentiating the diverse cell types in humans. In this dissertation, we analyze the nucleosome positioning and open chromatin profiles genome-wide and investigate the relationship with transcription initiation, the activity of regulatory elements, and expression levels. We mainly focus on the results of DNase-seq experiments, but also employ annotations from MNase-seq, FAIRE-seq, ChIP-seq, CAGE, and RNA microarrays. Our methods are based on computational approaches including managing large data sets, statistical analysis, and machine learning. We find that different transcription initiation patterns lead to distinct chromatin structures, suggesting diverse regulatory strategies. Moreover, we present a tool for comparing genome-wide annotation tracks and evaluate DNase-seq against a unique assay for detecting open chromatin. We also demonstrate how DNase-seq can be used to successfully predict rotationally stable nucleosomes that are conserved across cell types. We conclude that DNase-seq can be used to study genome-wide chromatin structure in an effort to better understand how it regulates gene expression.
ISBN: 9781303034589Subjects--Topical Terms:
1018415
Biology, Bioinformatics.
Genome-wide Analysis of Chromatin Structure across Diverse Human Cell Types.
LDR
:02094nam a2200289 4500
001
1965538
005
20141030134119.5
008
150210s2013 ||||||||||||||||| ||eng d
020
$a
9781303034589
035
$a
(MiAaPQ)AAI3558843
035
$a
AAI3558843
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Winter, Deborah Rachelle.
$3
2102213
245
1 0
$a
Genome-wide Analysis of Chromatin Structure across Diverse Human Cell Types.
300
$a
211 p.
500
$a
Source: Dissertation Abstracts International, Volume: 74-08(E), Section: B.
500
$a
Adviser: Gregory E. Crawford.
502
$a
Thesis (Ph.D.)--Duke University, 2013.
520
$a
Chromatin structure plays an important role in gene regulation, especially in differentiating the diverse cell types in humans. In this dissertation, we analyze the nucleosome positioning and open chromatin profiles genome-wide and investigate the relationship with transcription initiation, the activity of regulatory elements, and expression levels. We mainly focus on the results of DNase-seq experiments, but also employ annotations from MNase-seq, FAIRE-seq, ChIP-seq, CAGE, and RNA microarrays. Our methods are based on computational approaches including managing large data sets, statistical analysis, and machine learning. We find that different transcription initiation patterns lead to distinct chromatin structures, suggesting diverse regulatory strategies. Moreover, we present a tool for comparing genome-wide annotation tracks and evaluate DNase-seq against a unique assay for detecting open chromatin. We also demonstrate how DNase-seq can be used to successfully predict rotationally stable nucleosomes that are conserved across cell types. We conclude that DNase-seq can be used to study genome-wide chromatin structure in an effort to better understand how it regulates gene expression.
590
$a
School code: 0066.
650
4
$a
Biology, Bioinformatics.
$3
1018415
650
4
$a
Biology, Molecular.
$3
1017719
650
4
$a
Biology, Cell.
$3
1017686
690
$a
0715
690
$a
0307
690
$a
0379
710
2
$a
Duke University.
$b
Computational Biology and Bioinformatics.
$3
1279998
773
0
$t
Dissertation Abstracts International
$g
74-08B(E).
790
$a
0066
791
$a
Ph.D.
792
$a
2013
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3558843
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9260537
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login